scikit-image scikit-learn

Related Products

  • TinyPNG
    4.7 out of 5 stars 73 Ratings
    Visit Website for TinyPNG
  • Docmosis
    4.9 out of 5 stars 51 Ratings
    Visit Website for Docmosis
  • TeleRay
    5.0 out of 5 stars 6 Ratings
    Visit Website for TeleRay
  • DXcharts
    5.0 out of 5 stars 28 Ratings
    Visit Website for DXcharts
  • Adobe Firefly
    4.3 out of 5 stars 25,057 Ratings
    Visit Website for Adobe Firefly
  • ActCAD Software
    4.4 out of 5 stars 403 Ratings
    Visit Website for ActCAD Software
  • pCloud Business
    4.3 out of 5 stars 189 Ratings
    Visit Website for pCloud Business
  • MobiPDF
    4.6 out of 5 stars 8,243 Ratings
    Visit Website for MobiPDF
  • Google AI Studio
    4.8 out of 5 stars 42 Ratings
    Visit Website for Google AI Studio
  • Yodeck
    4.8 out of 5 stars 8,279 Ratings
    Visit Website for Yodeck
scikit-image:

About

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.
scikit-learn:

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.
scikit-image:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
scikit-learn:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
scikit-image:

Audience

Developers and professionals requiring a free solution offering algorithms for their image processing projects
scikit-learn:

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research
scikit-image:

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported
scikit-learn:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
scikit-image:

API

Offers API Supported
scikit-learn:

API

Offers API Supported
scikit-image:

Screenshots and Videos

scikit-learn:

Screenshots and Videos

scikit-image:

Pricing

Free
Free Version Supported
Free Trial Not Supported
scikit-learn:

Pricing

Free
Free Version Supported
Free Trial Not Supported
scikit-image:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
scikit-learn:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
scikit-image:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
scikit-learn:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
scikit-image:

Company Information

scikit-image
United States
scikit-image.org
scikit-learn:

Company Information

scikit-learn
United States
scikit-learn.org/stable/
scikit-image:

Alternatives

scikit-learn:

Alternatives

Gensim

Gensim

Radim ŘehÅÆÅ™ek
scikit-image:
scikit-learn:
ML.NET

ML.NET

Microsoft
scikit-image:
scikit-learn:
MLlib

MLlib

Apache Software Foundation
scikit-image:
scikit-learn:
scikit-image:
scikit-learn:
Keepsake

Keepsake

Replicate
scikit-image:

Categories

scikit-learn:

Categories

Machine Learning Supported
scikit-image:

Integrations

Python Supported
Akira AI Supported
Cython Supported
DagsHub Not Supported
Databricks Not Supported
Flower Not Supported
GLM-5.1 Not Supported
GLM-5.3 Not Supported
Guild AI Not Supported
Keepsake Not Supported
MLJAR Studio Not Supported
MLReef Supported
Matplotlib Not Supported
ModelOp Not Supported
NumPy Not Supported
Thunder Compute Not Supported
Train in Data Not Supported
Yamak.ai Supported
Yandex Data Proc Supported
scikit-learn:

Integrations

Python Supported
Akira AI Not Supported
Cython Not Supported
DagsHub Supported
Databricks Supported
Flower Supported
GLM-5.1 Supported
GLM-5.3 Supported
Guild AI Supported
Keepsake Supported
MLJAR Studio Supported
MLReef Not Supported
Matplotlib Supported
ModelOp Supported
NumPy Supported
Thunder Compute Supported
Train in Data Supported
Yamak.ai Not Supported
Yandex Data Proc Not Supported
scikit-image:
Claim scikit-image and update features and information
Claim scikit-image and update features and information
scikit-learn:
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information